wavelet transforms/ power quality disturbanceswavelet transform approachdata reductiondifference signalssubtractorIn this paper, application of a wavelet transform approach for the data reduction of power quality disturbances is proposed. In this approach, we extracted the difference signals between the ...
Extension of the engineering scalogram to the reduced-size semiconductor fabrication data leads to a visualization tool for monitoring and understanding process problems. 展开 关键词: Theoretical or Mathematical/ data compression data mining data reduction discrete wavelet transforms fault diagnosis ...
data reduction signal preprocessing schizophrenia obsessive compulsive disorder three-layered feedforward network backpropagation learning algorithm/ A8770F Electrodiagnostics A8728 Bioelectricity A8730C Electrical activity in neurophysiological processes B7510D Bioelectric signals B0230 Integral transforms B6140 ...
Therefore, the development of image data compression systems employing wavelet transforms requires devising efficient techniques for coding wavelet coefficients. In this section, we briefly describe some of the main techniques used for this purpose. First, the characteristics of wavelet transforms which ...
Pytorch 图像 wavelet transforms Pytorch 图像 聚类算法 0. 文章说明 首先需要指出的是,代码是从李宏毅老师的课程中下载的,并不是我自己码的。这篇文章主要是进行了部分算法的原理说明,并在原代码中加了一些讲解和注释。 1. 任务简介 本次Pytorch 实战的目标是做图像的降维及聚类。所谓降维,就是将图像向一个低...
A FT transforms a function of time into a complex-valued function of frequency, representing the magnitudes of the frequencies. The FT assumes the signal is stationary. In other words, it is a stochastic process in which the marginal and joint density functions do not depend on the choice of...
Comparison is made with windowed Fourier transforms, similarity filtered, at different data window lengths. We here report a dramatic reduction in computational time required to perform this analysis, without compromising the accuracy of feature extraction. It now appears technically feasible to filter ...
Analysis of circadian oscillations that exhibit variability in period or amplitude can be accomplished through wavelet transforms. Wavelet-based methods ca... TL Leise,ME Harrington - 《Journal of Biological Rhythms》 被引量: 0发表: 2011年 Wavelet-based bootstrap for time series analysis. The boot...
3.4.3 Wavelet transforms The wavelet transform was used by Morlet in the early 1980s. The wavelet transform can synthesize one- and multidimensional data which provide an alternate solution to the Fourier transform. The wavelet transform has various applications in the field of data analysis and cl...
After that, we have performed Principal component analysis (PCA) for data reduction and ANN in order to distinguish between atherosclerosis and healthy subjects. After the training phase, testing of the artificial neural network (ANN) was established. The overall results show that 97.9% correct ...